LOTKA’S LAW AUTHOR PRODUCTIVITY OF CORONA VIRUS: A SCIENTOMETRIC ANALYSIS

2020 ◽  
Vol 33 (03) ◽  
Author(s):  
Dr. S KANAGASUNDARI ◽  
Keyword(s):  
Scientometric Analysis ◽  
Corona Virus ◽  
Author Productivity ◽  
Lotka’S Law

Humanitarian Logistics

2018 ◽  
Vol 11 (4) ◽  
pp. 53-71 ◽  
Author(s):  
Anil Kumar ◽  
G.S. Kushwaha
Keyword(s):  
Research Impact ◽  
Humanitarian Logistics ◽  
Distribution Data ◽  
Scientometric Analysis ◽  
Authorship Pattern ◽  
Publication Patterns ◽  
Major Subject ◽  
Author Productivity ◽  
Subject Areas ◽  
Lotka’S Law

The concept of humanitarian logistics is evolving rapidly and gaining popularity in the research community. This research reviews the literature on humanitarian logistics for providing a thorough outlook into the field. In this study, Authors conducted a scientometric analysis of the literature published in 1998–2015 to empirically explore the important areas and key contributors of humanitarian logistics research and providing new outlook towards publication patterns, authorship pattern, major subject areas, research impact, and research productivity. By using scientometric analysis, the research critically evaluates 509 articles published over the past 18 years and identifies some of the major contributing authors, organizations and key research topics related to the field. In the last, the paper examines the validity of Lotka's law to authorship pattern in humanitarian logistics. The result found that the author productivity distribution data in humanitarian logistics do not follow Lotka's law. The findings of the study provide a new outlook on humanitarian logistics research.

Collaboration and author productivity: A study with a new variable in Lotka's law

1999 ◽  
Vol 44 (1) ◽  
pp. 129-134 ◽  
Author(s):  
B. M. Gupta ◽  
C. R. Karisiddippa
Keyword(s):  
Author Productivity ◽  
Lotka’S Law

Bibliometric study of social network analysis literature

2019 ◽  
Vol 38 (2) ◽  
pp. 420-433 ◽  
Author(s):  
Yu-Sheng Su ◽  
Chien-Linag Lin ◽  
Shih-Yeh Chen ◽  
Chin-Feng Lai
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Bibliometric Analysis ◽  
Computer Mediated Communication ◽  
Content Type ◽  
Productivity Distribution ◽  
Author Productivity ◽  
Subject Areas ◽  
Lotka’S Law

Purpose The purpose of this paper is to use bibliometric analysis to identify the current state of the academic literature regarding social network analysis (SNA) and analyze its knowledge base such as research authors, research countries, document type, keyword analysis and subject areas. Design/methodology/approach Bibliometric analysis is used and furthermore, Lotka’s and Bradford’s law is applied to perform author productivity analyses in this field during 1999 and 2018, respectively, in turn, discovering historical vein and research tendency in the future. Findings It appears that the research on SNA has been very popular and still in the highly mature period. So far, the USA takes the lead among the published paper. The top 2 subject areas are “Computer Science” and “Business Economics.” The primary journal that SNA articles were published is Computers in Human Behavior. SNA has been related to many research areas, such as “Social network analysis,” “Computer-mediated communication,” “Online learning,” “Social Network” and “Community of inquiry.” Finally, Kolmogorov–Smirnov (K-S) test proved that the frequency indexes of author productivity distribution certainly followed Lotka’s law. Research limitations/implications First, the productivity distribution may inform researchers and scholars of current issues and development of SNA. Second, the study proposed a theoretical model, based on Lotka’s law, for author productivity analysis of SNA, which can serve as reference for different areas of study in the evaluation of author productivity models. Also, in order to allow researchers to gain in-depth insights, this study aimed to report the most published institutions and keep track of the growth and trend of author productivity, by which scholars in related fields are provided with more opportunities for academic communication and technological cooperation. Originality/value This research on the productivity distribution of SNA may inform researchers and scholars of current issues and development of SNA. The findings report the major publication outlets and related discussion issues about SNA. Such information would be valuable for related authors, who are writing the manuscript on SNA, and also for practitioners, who may be interested in applying the theory or ideas of SNA.

scholarly journals Produktivitas Pengarang Menggunakan Hukum Lotka Dengan Teknik Complete Count Pada Jurnal Kedokteran YARSI Tahun 2009-2018

2020 ◽  
Vol 1 (1) ◽  
pp. 1-12
Author(s):  
Danang Dwijo Kangko ◽  
Rahmadhani Rahmadhani ◽  
Elfitri Kurnia Erza
Keyword(s):  
Medical Journal ◽  
Journal Article ◽  
Science Research ◽  
Analysis Data ◽  
Critical Value ◽  
Maximum Deviation ◽  
Author Productivity ◽  
Lotka’S Law ◽  
Complete Count ◽  
Productivity Pattern

Researchers research to develop science. Research results are published as a form of scientific communication. One type of scientific publication is a journal article. YARSI Medical Journal is a peer-reviewed journal in the field of medicine and health that is open to the public owned by YARSI University. The author's productivity patterns in the YARSI Medical Journal so far are unknown. Author productivity is the number of papers produced by the author on a particular subject and published in scientific journals in a certain period. This study aims to (1) Determine the author's productivity patterns using Lotka's Law with complete count techniques in YARSI Medical Journal 2009-2018; (2) Testing the suitability of the frequency of Lotka's Law with the author's frequency distribution using the complete count technique in YARSI Medical Journal 2009-2018. The research method used in this study is a quantitative method with bibliometric analysis. Data collection uses documentation method. The results of this study include (1) the pattern of author productivity with an exponent value (n) 2.874110535 and the constant (C) 0.820080499 meaning that the author contributing to one article is 82.00% of the total number of authors, it can be said that the YARSI Medical Journal Author Productivity Pattern 2009- 2018 is low or less productive. (2) Based on the K-S test the maximum deviation is 0 and the critical value is 0.0829206. Dmax is smaller than the critical value, so H0 is accepted. That is, the Author Productivity Pattern uses the Complete Count Technique in YARSI Medical Journal 2009-2018 following Lotka's Law.

CONTRIBUTIONS TO THE INDIAN JOURNAL OF VETERINARY AND ANIMAL SCIENCES RESEARCH (IJVASR): A SCIENTOMETRIC ANALYSIS

2021 ◽  
Vol 9 (11) ◽  
pp. 269-275
Author(s):  
Rajendran L.
Keyword(s):  
Average Degree ◽  
Research Articles ◽  
Scientometric Analysis ◽  
Current Analysis ◽  
Indian Journal ◽  
Author Productivity ◽  
Scientometric Study ◽  
Animal Sciences ◽  
Research Author

A Scientometric study was performed on 235 research articles published in the Indian Journal of Veterinary and Animal Sciences Research (IJVASR). For the current analysis, six volumes of the journal totalling 30 issues from 2016 to 2020 were considered. The amounts of contributions, authorship patterns, author productivity, average article length, and average keyword density have all been examined. Only 20 of the 235 contributions were single-authored, while the rest were multi-authored, with an average degree of collaboration of 0.91 and a week of collaboration between the writers. The increasing tendency of co-authored publications was highlighted by the pattern of co-authorship. According to the research, author productivity is 0.26.

Indikationen für chinesische Arzneimitteltherapie bei Covid-19-Erkrankungen

2020 ◽  
Vol 12 (03) ◽  
pp. 18-18
Author(s):  
Christian Thede
Keyword(s):  
Virus Disease ◽  
Traditionelle Chinesische Medizin ◽  
Chinesische Medizin ◽  
Corona Virus ◽  
Chinesische Arzneimitteltherapie

SummaryIn Reaktion auf den massiven Ausbruch von Covid-19-Erkrankungen in der Region Wuhan wurde von staatlicher Seite bereits Ende Januar 2020 eine Expertenkommission namhafter chinesischer TCM-Fachleute berufen. Nach der Sichtung einer größeren Anzahl von Patienten in Wuhan wurdenTherapieprotokolle für verschiedene Krankheitsstadien formuliert, die in den „Guidance for Corona Virus Disease 2019“ des Generalbüros der Nationalen Hygiene und Gesundheitskommission und des Büros der staatlichen Verwaltung für traditionelle chinesische Medizin aufgenommen wurden.

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